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Table 8 Average variances and biases of \(\beta_{ 0}\) and \(\beta_{1}\) on a hill-side surface (single-type)

From: A modification to geographically weighted regression

S/N of \(\beta_{ 0}\)

OLS

Basic GWR

Local linear

CGWR

1

5

1

5

1

5

1

5

(i) \(\beta_{ 0}\)

        

Conditional on S/N of \(\beta_{1}\) = 1

        

Variance

0.008

0.008

0.031

0.060

0.044

0.053

0.026

0.040

Bias

0.028

0.702

0.003

0.033

0.002

0.033

0.002

0.009

Conditional on S/N of \(\beta_{1}\) = 5

        

Variance

0.009

0.008

0.053

0.080

0.048

0.061

0.025

0.046

Bias

0.027

0.703

0.003

0.042

0.003

0.041

0.001

0.008

(ii) \(\beta_{1}\)

        

Variance

0.023

0.021

0.090

0.183

0.115

0.178

0.054

0.084

Bias

0.034

0.129

0.013

0.107

0.007

0.031

0.004

0.009

Conditional on S/N of \(\beta_{1}\) = 5

        

Variance

0.024

0.022

0.168

0.239

0.159

0.192

0.110

0.106

Bias

0.068

0.811

0.049

0.179

0.045

0.097

0.013

0.033

  1. The values (1, 5) indicate the signal/noise ratio